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dc.contributor.authorDorta González, Pabloen_US
dc.contributor.authorGonzález Betancor, Sara Maríaen_US
dc.contributor.authorDorta González,María Isabelen_US
dc.description.abstractData sharing by researchers is a centerpiece of Open Science principles and scientific progress. For a sample of 6019 researchers, we analyze the extent/frequency of their data sharing. Specifically, the relationship with the following four variables: how much they value data citations, the extent to which their data-sharing activities are formally recognized, their perceptions of whether sufficient credit is awarded for data sharing, and the reported extent to which data citations motivate their data sharing. In addition, we analyze the extent to which researchers have reused openly accessible data, as well as how data sharing varies by professional age-cohort, and its relationship to the value they place on data citations. Furthermore, we consider most of the explanatory variables simultaneously by estimating a multiple linear regression that predicts the extent/frequency of their data sharing. We use the dataset of the State of Open Data Survey 2019 by Springer Nature and Digital Science. Results do allow us to conclude that a desire for recognition/credit is a major incentive for data sharing. Thus, the possibility of receiving data citations is highly valued when sharing data, especially among younger researchers, irrespective of the frequency with which it is practiced. Finally, the practice of data sharing was found to be more prevalent at late research career stages, despite this being when citations are less valued and have a lower motivational impact. This could be due to the fact that later-career researchers may benefit less from keeping their data private.en_US
dc.sourceScientometrics[ISSN 0138-9130], (Enero 2021)en_US
dc.subject570106 Documentaciónen_US
dc.subject5302 Econometríaen_US
dc.subject.otherData Citationen_US
dc.subject.otherData Reuseen_US
dc.subject.otherData Sharingen_US
dc.subject.otherOpen Dataen_US
dc.subject.otherOpen Scienceen_US
dc.subject.otherProfessional Age-Cohort Differencesen_US
dc.titleTo what extent is researchers' data-sharing motivated by formal mechanisms of recognition and credit?en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.utils.revisionen_US 2021en_US
item.fulltextSin texto completo-
item.grantfulltextnone-écnicas estadísticas bayesianas y de decisión en la economía y empresa- de Turismo y Desarrollo Económico Sostenible- de Métodos Cuantitativos en Economía y Gestión-ía de la salud y políticas públicas- de Métodos Cuantitativos en Economía y Gestión- de Turismo y Desarrollo Económico Sostenible- de Métodos Cuantitativos en Economía y Gestión- González, Pablo-ález Betancor, Sara María- González,María Isabel-
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